Zhiqiang Fan

Inner Mongolia University of Technology, Mongolian University of Science and Technology

Papers

Total Citations

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About

Zhiqiang Fan is a robotics researcher whose work centers on autonomous navigation and path planning for mobile robots. His primary contributions lie in improving the efficiency and accuracy of algorithms that allow robots to perceive, map, and move through unknown environments. Fan is best known for his work on an improved A* algorithm for path planning, which optimizes the classic search method by integrating different heuristic functions, enabling Automated Guided Vehicles (AGVs) to find more optimal routes in static environments. This paper has garnered 19 citations, establishing a foundation for practical navigation improvements. He has also advanced visual SLAM (Simultaneous Localization and Mapping) by enhancing the ORB-SLAM2 algorithm, allowing mobile robots to achieve autonomous positioning and map construction in unfamiliar spaces using vision sensors. By tackling the dual challenges of path optimization and environmental perception, Fan’s research directly supports the development of more intelligent and self-sufficient robotic systems. His work is particularly valuable for students and engineers exploring the intersection of computer vision, sensor fusion, and motion planning in real-world robotics applications.